Pricing Personalized Bundles: A New Approach and An Empirical Study
Author
Abstract
Suggested Citation
DOI: 10.1287/msom.2015.0563
Download full text from publisher
References listed on IDEAS
- Yuanchun Jiang & Jennifer Shang & Chris F. Kemerer & Yezheng Liu, 2011. "Optimizing E-tailer Profits and Customer Savings: Pricing Multistage Customized Online Bundles," Marketing Science, INFORMS, vol. 30(4), pages 737-752, July.
- Kalyan Talluri & Garrett van Ryzin, 1998. "An Analysis of Bid-Price Controls for Network Revenue Management," Management Science, INFORMS, vol. 44(11-Part-1), pages 1577-1593, November.
- B. P. S. Murthi & Sumit Sarkar, 2003. "The Role of the Management Sciences in Research on Personalization," Management Science, INFORMS, vol. 49(10), pages 1344-1362, October.
- Lorin M. Hitt & Pei-yu Chen, 2005. "Bundling with Customer Self-Selection: A Simple Approach to Bundling Low-Marginal-Cost Goods," Management Science, INFORMS, vol. 51(10), pages 1481-1493, October.
- Dimitris Bertsimas & Ioana Popescu, 2003. "Revenue Management in a Dynamic Network Environment," Transportation Science, INFORMS, vol. 37(3), pages 257-277, August.
- Shin-yi Wu & Lorin M. Hitt & Pei-yu Chen & G. Anandalingam, 2008. "Customized Bundle Pricing for Information Goods: A Nonlinear Mixed-Integer Programming Approach," Management Science, INFORMS, vol. 54(3), pages 608-622, March.
- E. H. Bowman, 1963. "Consistency and Optimality in Managerial Decision Making," Management Science, INFORMS, vol. 9(2), pages 310-321, January.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Sameer Mehta & Milind Dawande & Ganesh Janakiraman & Vijay Mookerjee, 2022. "An Approximation Scheme for Data Monetization," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2412-2428, June.
- Bharadwaj Kadiyala & Robert Phillips & A. Serdar Şimşek & Garrett van Ryzin, 2023. "Predicting transaction outcomes under customized pricing with discretion: A structural estimation approach," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1654-1673, June.
- Huashuai Qu & Ilya O. Ryzhov & Michael C. Fu & Eric Bergerson & Megan Kurka & Ludek Kopacek, 2020. "Learning Demand Curves in B2B Pricing: A New Framework and Case Study," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1287-1306, May.
- Wu, Xiangxiang & Zha, Yong & Ling, Liuyi & Yu, Yugang, 2022. "Competing OEMs’ responses to a developer's services installation and strategic update of platform quality," European Journal of Operational Research, Elsevier, vol. 297(2), pages 545-559.
- Xi Chen & Zachary Owen & Clark Pixton & David Simchi-Levi, 2022. "A Statistical Learning Approach to Personalization in Revenue Management," Management Science, INFORMS, vol. 68(3), pages 1923-1937, March.
- Li, Jianbin & Liu, Lang & Luo, Xiaomeng & Zhu, Stuart X., 2023. "Interactive bundle pricing strategy for online pharmacies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
- Jérémie Gallien & Alan Scheller-Wolf, 2016. "Introduction to the Special Issue on Practice-Focused Research," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 1-4, February.
- Cao, Qingning & Tang, Yuanzhao & Perera, Sandun & Zhang, Jianqiang, 2022. "Manufacturer- versus retailer-initiated bundling: Implications for the supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
- Muzaffer Buyruk & Ertan Güner, 2022. "Personalization in airline revenue management: an overview and future outlook," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 129-139, April.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Ritwik Raj & Mark H. Karwan & Chase Murray & Lei Sun, 2022. "Itemized pricing in B2B bundles with diminishing reservation prices and loss averse customers," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(4), pages 375-392, August.
- Huang, Yeu-Shiang & Ho, Jyh-Wen & Wu, Guan-Jin, 2022. "A study on promotion with strategic two-stage customized bundling," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
- Moussawi-Haidar, Lama & Nasr, Walid & Jalloul, Maya, 2021. "Standardized cargo network revenue management with dual channels under stochastic and time-dependent demand," European Journal of Operational Research, Elsevier, vol. 295(1), pages 275-291.
- Alexander Erdelyi & Huseyin Topaloglu, 2010. "A Dynamic Programming Decomposition Method for Making Overbooking Decisions Over an Airline Network," INFORMS Journal on Computing, INFORMS, vol. 22(3), pages 443-456, August.
- Chiang, David Ming-Huang & Wu, Andy Wei-Di, 2011. "Discrete-order admission ATP model with joint effect of margin and order size in a MTO environment," International Journal of Production Economics, Elsevier, vol. 133(2), pages 761-775, October.
- Li, Minqiang & Feng, Haiyang & Chen, Fuzan & Kou, Jisong, 2013. "Numerical investigation on mixed bundling and pricing of information products," International Journal of Production Economics, Elsevier, vol. 144(2), pages 560-571.
- Thomas W. M. Vossen & Dan Zhang, 2015. "Reductions of Approximate Linear Programs for Network Revenue Management," Operations Research, INFORMS, vol. 63(6), pages 1352-1371, December.
- David Simchi-Levi & Rui Sun & Huanan Zhang, 2022. "Online Learning and Optimization for Revenue Management Problems with Add-on Discounts," Management Science, INFORMS, vol. 68(10), pages 7402-7421, October.
- Guillermo Gallego & Robert Phillips, 2004. "Revenue Management of Flexible Products," Manufacturing & Service Operations Management, INFORMS, vol. 6(4), pages 321-337, January.
- Page, Kenneth & Pérez, Juan & Telha, Claudio & García-Echalar, Andrés & López-Ospina, Héctor, 2021. "Optimal bundle composition in competition for continuous attributes," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1168-1187.
- Yuanchun Jiang & Jennifer Shang & Chris F. Kemerer & Yezheng Liu, 2011. "Optimizing E-tailer Profits and Customer Savings: Pricing Multistage Customized Online Bundles," Marketing Science, INFORMS, vol. 30(4), pages 737-752, July.
- An, Jaehyung & Mikhaylov, Alexey & Jung, Sang-Uk, 2021. "A Linear Programming approach for robust network revenue management in the airline industry," Journal of Air Transport Management, Elsevier, vol. 91(C).
- Chevalier, Philippe & Lamas, Alejandro & Lu, Liang & Mlinar, Tanja, 2015.
"Revenue management for operations with urgent orders,"
European Journal of Operational Research, Elsevier, vol. 240(2), pages 476-487.
- LAMAS, Alejandro & MLINAR, Tanja & CHEVALIER, Philippe, 2013. "Revenue management for operations with urgent orders," LIDAM Discussion Papers CORE 2013046, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- CHEVALIER, Philippe & LAMAS, Alejandro & LU, Lian & MLINAR, Tanja, 2015. "Revenue management for operations with urgent orders," LIDAM Reprints CORE 2628, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hemant K. Bhargava, 2013. "Mixed Bundling of Two Independently Valued Goods," Management Science, INFORMS, vol. 59(9), pages 2170-2185, September.
- Stefanus Jasin & Sunil Kumar, 2013. "Analysis of Deterministic LP-Based Booking Limit and Bid Price Controls for Revenue Management," Operations Research, INFORMS, vol. 61(6), pages 1312-1320, December.
- Thomas Spengler & Stefan Rehkopf, 2005. "Revenue Management Konzepte zur Entscheidungsunterstützung bei der Annahme von Kundenaufträgen," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 16(2), pages 123-146, June.
- Yuhang Ma & Paat Rusmevichientong & Mika Sumida & Huseyin Topaloglu, 2020. "An Approximation Algorithm for Network Revenue Management Under Nonstationary Arrivals," Operations Research, INFORMS, vol. 68(3), pages 834-855, May.
- Tatsiana Levina & Yuri Levin & Jeff McGill & Mikhail Nediak, 2011. "Network Cargo Capacity Management," Operations Research, INFORMS, vol. 59(4), pages 1008-1023, August.
- Atanu Lahiri & Rajiv M. Dewan & Marshall Freimer, 2013. "Pricing of Wireless Services: Service Pricing vs. Traffic Pricing," Information Systems Research, INFORMS, vol. 24(2), pages 418-435, June.
- Topaloglu, Huseyin, 2009. "On the asymptotic optimality of the randomized linear program for network revenue management," European Journal of Operational Research, Elsevier, vol. 197(3), pages 884-896, September.
More about this item
Keywords
pricing; personalized bundle; utility model; data analysis;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormsom:v:18:y:2016:i:1:p:51-68. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.